Author

Elizabeth S. Oh

University of TasmaniaORCID 0000-0001-7061-5068Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Graham J. EdgariD· 2 shared Rick D. Stuart‐SmithiD· 2 shared Aurélien BoyéiD· 1 shared Christina A. BuelowiD· 1 shared Christopher James BrowniD· 1 shared Clément VioletiD· 1 shared Martin Pierre MarzloffiD· 1 shared Neville Scott BarrettiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersEcology

Graham J. EdgarORCID

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2 papers

Recent·Most cited

EcologyMethods in Ecology and EvolutionPeer-reviewedJul 16, 2025

Assessing predictive accuracy of species abundance models in dynamic systems

Christopher James Brown, Christina A. Buelow, Rick D. Stuart‐Smith…·Elizabeth S. Oh

The paper evaluates species abundance models in dynamic systems, finding that modern splits yield lower forecast errors than legacy splits in rapidly changing environments.

1 citation

statistical modelecology & biodiversity

𝕏 PostBluesky

EcologyEcological InformaticsPeer-reviewedJan 31, 2025

From local seafloor imagery to global patterns in benthic habitat states: contribution of citizen science to habitat classification across latitudes

Clément Violet, Aurélien Boyé, Sophie Dubois…·Martin Pierre Marzloff

This study uses a clustering pipeline to identify global benthic habitat states from citizen science data, revealing biogeographic patterns and temporal changes in reef ecosystems.

13 citationstop 4%

imagingdeep learning

𝕏 PostBluesky